OWASP LLM Top 10 2026: Every Move Points the Same Direction

This is Post 4 of a four-part series: Post 1: Agentic AI Security: The Chatbot Era Is Over Post 2: Generative AI Security: Why AI Needs a New Kind of Security Post 3: The OWASP LLM Top 10 Was the Warm-Up: What Comes Next The 2026 edition of the the OWASP Top 10 for LLM Applications, published by...

The Vulnerability with No CVE: Managing Persistent Gaps between Mandate and Authority in AI Coding Agents

Existing guidance identifies excessive agency, excessive permission, weak task-bound authorization, and inadequate agent controls as important risks. Control frameworks also describe capabilities for constraining, authorizing, observing, validating, and responding to agent activity. Yet security...

LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories

Large language models LLMs are increasingly embedded in open-source software OSS ecosystems, creating complex interactions among natural language prompts, probabilistic model outputs, and execution-capable components. However, it remains unclear whether traditional vulnerability disclosure...

AI Under the Microscope—What’s Changed in the OWASP Top 10 for LLMs 2025

As AI continues to evolve, so do the threats and vulnerabilities that surround Large Language Models LLMs. The OWASP Top 10 for LLM Applications 2025 introduces critical updates that reflect the rapid changes in how these models are applied in real-world scenarios. While the list includes...